Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F20%3AN0000124" target="_blank" >RIV/00098892:_____/20:N0000124 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15110/20:73601215

Result on the web

<a href="https://www.mdpi.com/2077-0383/9/7/2190/htm" target="_blank" >https://www.mdpi.com/2077-0383/9/7/2190/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/jcm9072190" target="_blank" >10.3390/jcm9072190</a>

Result language

angličtina

Original language name

Prevention of Prosthetic Joint Infection: From Traditional Approaches towards Quality Improvement and Data Mining

Original language description

A projected increased use of total joint arthroplasties will naturally result in a related increase in the number of prosthetic joint infections (PJIs). Suppression of the local peri-implant immune response counters efforts to eradicate bacteria, allowing the formation of biofilms and compromising preventive measures taken in the operating room. For these reasons, the prevention of PJI should focus concurrently on the following targets: (i) identifying at-risk patients; (ii) reducing "bacterial load" perioperatively; (iii) creating an antibacterial/antibiofilm environment at the site of surgery; and (iv) stimulating the local immune response. Despite considerable recent progress made in experimental and clinical research, a large discrepancy persists between proposed and clinically implemented preventative strategies. The ultimate anti-infective strategy lies in an optimal combination of all preventative approaches into a single "clinical pack", applied rigorously in all settings involving prosthetic joint implantation. In addition, "anti-infective" implants might be a choice in patients who have an increased risk for PJI. However, further progress in the prevention of PJI is not imaginable without a close commitment to using quality improvement tools in combination with continual data mining, reflecting the efficacy of the preventative strategy in a particular clinical setting.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30211 - Orthopaedics

Project

<a href="/en/project/NV17-29680A" target="_blank" >NV17-29680A: Lipophosphonoxins in the prevention and treatment of musculoskeletal infections: a potential role of new antimicrobial compounds</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Clinical Medicine

ISSN

2077-0383

e-ISSN

2077-0383

Volume of the periodical

9

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

26

Pages from-to

2190

UT code for WoS article

000554244200001

EID of the result in the Scopus database

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